Data Infrastructure Engineer

Job Summary

Building and operating data pipelines, the full-time Data Infrastructure Engineer will design scalable data ingestion processes and implement a modern lakehouse on AWS while ensuring data governance and automated CI/CD for reliable deployments in a remote environment.

Key responsibilities

• Design and implement batch and streaming data ingestion pipelines from various sources, optimizing ETL/ELT workflows for analytics readiness
• Build and manage a scalable lakehouse on AWS, focusing on performance optimization and environment consistency
• Establish a managed metadata repository and governance controls, ensuring data quality and compliance across the data platform

Required qualifications

• Bachelor's degree in Engineering, IT, Computer Science, or related field (or equivalent experience)
• Minimum of six years of experience building production data pipelines and data platforms
• Strong experience with data ingestion, ETL/ELT workflows, and data modeling best practices
• Hands-on experience building a data lake/delta lake on AWS using object storage and modern table formats
• Proficiency in SQL and one programming language commonly used for data engineering, preferably Python